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WHAT
KINDS OF QUESTIONS CAN YOU ANTICIPATE?
|
Background
Knowledge:
Why did you decide
to investigate this topic?
What is the purpose
of your project?
What resources did
you find useful in investigating this topic? |
Experimental
Design:
What was your variable?
What variable did
you intentionally change?
What response did
you observe or measure?
What did you intentionally
keep the same?
What groups did you
compare the others against? Why?
How many times did
you repeat the experiment? |
Materials
and Methods:
What materials did
you use?
What procedures did
you follow in performing your experiment?
If a mentor assisted
you, in what ways was he or she helpful? |
Results
and Conclusions:
What results did you
find?
How did your findings
relate to your original hypothesis?
What would you do
differently next time?
What was the most
important think you learned?
What additional experiments
do you suggest?
What conclusions can
you draw?
Who would be interested
in your experiment? |
PROJECT
EVALUATION CRITERIA
|
BACKGROUND KNOWLEDGE
(0-9 points)
-
Key scientific concepts
-
Literature review
-
Evidence of procedural
plan
|
EXPERIMENTAL DESIGN
(0-24 points)
-
Questions (objective)
-
Components
-
Hypothesis
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Variables
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Independent (IV)
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Dependent (DV)
-
Constants
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Control
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Repeated Trials
-
Procedure (including materials)
|
RESULTS/CONCLUSION
(0-21 points)
-
Choice of data display
(table chart, graph, etc) is appropriate
-
Data displays reflect
IV, DV, derived quantities, units
-
Data displays are titled
and use appropriate scale
-
Discussion of data includes
references to the data, a statement of how the data support or don't support
the hypothesis
-
Major findings
-
Interpretations
-
Implications for further
study
|
DISPLAY (0-9
points)
-
Attractive and ligible
-
Accurate
-
Consistent with science
fair regulations
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CLARITY:
INTERVIEW AND RESEARCH PAPER (0-12 points)
-
Communicates scientific
basis
-
Describes design principles
-
Explains data
-
Recognizes limitations
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CREATIVE ABILITY/ORIGINALITY
(0-25 points)
-
Experimental design reflects
novel approach to the problem posed
-
Analysis and interpretation
of data demonstrates logical thinking
-
Design and use of equipment
shows creative approaches
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